ABSTRACT… Objective: To present our experience of modified del Nido Cardioplegia for chemical arrest and myocardial protection during congenital heart defect in pediatric cardiac surgeries. Study Design: Retrospective Cross Sectional. Setting: Department of Cardiac Surgery, PAQSJIMS, Gambat, Khairpur. Period: 15th March, 2021 to 10th October, 2022. Material & Methods: del Nido solution is generally constituted in plasma lyte A solution, not available in Pakistan; therefore, we constituted del Nido solution in ringer lactate solution. We had collected our data retrospectively for our study to assess the safety and efficacy of modified del Nido cardioplegic arrest during the open heart surgeries for congenital heart defects. We report clinical outcomes of our patients that include spontaneous rhythm, ionotropic score and duration of mechanical ventilation underwent open heart surgeries with. Results: During the study period we had performed 102 surgeries for correction or palliation of congenital heart defects. We have included 54 patients in our study co with 28 (52%) male and 26 female (48%) patients; had a mean age 8.9 (±3.7) years and mean weight 22.4 (±12.7) kg. Majority of patients 29 (54%) belonged to Category 2 on RACHS-1 scale. Our average cross clamp time was 39.7min, and 37(68%) patients required a single dose of cardioplegia. Spontaneous sinus rhythm was established in 48(89%) patients; average ionotropic score of patients at the time of PICU arrival was 8.6 (±5.6) with 31(57%) have score of less than 10, while 2(4%) patients were received without the ionotrope. All the patients were shifted on mechanical ventilators with average time of 253.6 (±219.6) min of mechanical ventilation. Conclusion: Our results show modified del Nido solution is safe, with added benefits of fewer interruption in surgery, greater magnitude of spontaneous sinus rhythm and fewer ionotropic requirements.

A Product Configuration System (PCS) is a software system that facilitates the sales and production processes of defined customizable products. PCS are specific software developments in the sense that they are knowledge-intensive so that they require models to formalize the complex knowledge inherent to product configurations also leading to dependencies between software functionalities. Scrum is a widely used agile method, but its training has been the subject of little research. Model-driven development implicitly impacts the way development is conducted especially when adopting an agile method as Scrum. This paper, as exploratory research, evaluates Scrum training for PCS projects through a qualitative case study. The goal is to identify the elements that should be focused on within Scrum background training. This research first studies and assesses the training experiences at the case company. Then, it reports on respondents’ opinions about the strengths and challenges of applying Scrum in the mentioned context. The latter is based on multiple data sources: documentation, interviews, participant observations, and workshops. Issues in applicability lead to enhanced training support for learning how to (i) combine Scrum with the model-driven approach inherently required within PCS development, (ii) manage time and effort estimation on the basis of accurate artifacts and (iii) access key employees possessing domain or specific technical knowledge indispensable for pursuing the development.

Predictive models are increasingly being used to optimize decision-making and minimize costs. A conventional approach is predict-then-optimize: first, a predictive model is built; then, this model is used to optimize decision-making. A drawback of this approach, however, is that it only incorporates costs in the second stage. Conversely, the predict-and-optimize approach proposes learning a predictive model by directly minimizing the cost of the downstream decision-making task. This is achieved by using a task-specific loss function incorporating the costs of different outcomes in the first stage, with the eventual aim of obtaining more cost-effective decisions in the second stage. This work compares both approaches in the context of cost-sensitive classification. Conceptually, we use the two-stage framework to categorize existing cost-sensitive learning methodologies by differentiating between methodologies for cost-sensitive model training and decision-making. Empirically, we compare and evaluate both approaches using different cost-sensitive training and decision-making methodologies, as well as both class-dependent and instance-dependent cost-sensitive methods. This is achieved using real-world data from a range of application areas and a combination of cost-sensitive and cost-insensitive performance measures. The key finding is that the decision-making strategy is generally found to be more effective than training with a task-specific loss or their combination.

Computer-Aided Software Engineering (CASE) tools are popular software programs to support the members of the development team (including analysts, designers, coders, database administrators, and project managers) in building new software systems. Up-to-date and consistent knowledge representation and documentation is crucial for companies developing Product Configuration Systems (PCSs). The literature reports various challenges in PCS development, such as maintenance, documentation, knowledge management, resource and time management, system quality, and communication with domain experts as particularly problematic. A CASE tool tailored to the specific needs of PCS development can prove to be useful in tackling at least some of these challenges. Such a CASE tool has to support product models, which means it has to not only allow the representation of the product core architecture and the optional selectable features, but also ensure consistency between representations (views) and deliver forward or reverse engineering. This enables support and automates, at least partially, the development in general and the implementation stage. The focus and main contribution of this paper is twofold. First, we describe the view-based approach required to fully conceptualise the knowledge to generate PCS software from the CASE tool. To this end, the tool indeed includes four different views to build or edit all the required knowledge. Second, we validate this CASE tool within two case companies, wherein we evaluate its application on a project each time it is used. The results show that the use of the CASE tool increases the quality of PCS documentation and saves time and resources while also improving the PCS’s overall quality.

The issue of energy retrofitting of existing building stock occupies an increasingly prominent place in energy transition strategies in Europe. Adopting models representing the building stock and accounting for occupancy influence on final housing energy use must be developed to advise new policies. In this respect, this study aims to characterize the Walloon residential building stock and to analyze the existing correlations between the stock’s technical data and its occupants’ socioeconomic data. This study uses existing databases on buildings and inhabitants in Wallonia. Several statistical analyses make it possible to highlight the preponderant criteria and existing correlations between these different criteria. This study affirms the importance of accounting for certain socioeconomic categories, such as low-income groups, in a global strategic reflection on energy renovation. Multiple linear regression shows us that each percent increase in the category of households that declare between 10,000–20.000 EUR of income per year corresponds to an increase of 7.22 kWh/m2·y in the average energy efficiency of the built stock. The results highlight the importance of focusing on renovation strategies for particular types of buildings, such as semi-detached houses, which combine unfavorable technical and socioeconomic factors. Thus, the results confirm the interest of a mixed model approach to adapt to effective renovation policy strategies.

This perspective outlines how authors of ocean methods, guides, and standards can harmonize their work across the scientific community. We reflect on how documentation practices can be linked to modern information technologies to improve discoverability, interlinkages, and thus the evolution of distributed methods into common best practices within the ocean community. To show how our perspectives can be turned into action, we link them to guidance on using the IOC-UNESCO Ocean Best Practice System to support increased collaboration and reproducibility during and beyond the UN Decade of Ocean Sciences for Sustainable Development.

The discovery of a multi-chambered long cairn in central Brittany dating to the Middle Neolithic period challenges previous conceptions of the coastal focus of Neolithic society in this region.

The Vu Gia - Thu Bon river basin is one of the largest basins in Vietnam. Research and assessment of this potential basin is a great interest to scientists and regulators. One of the important studies is the evaluation of morphological parameters of the basin. The morphological parameters represent water resources and at the same time are one of the factors that help researchers give a comprehensive view of the basin, assessing the factors related to the direction of the flow, the flow rate or hazards throughout the basin. Therefore, this paper is an attempt to evaluate the morphology of Vu Gia - Thu Bon river basin using DEM SRTM (30 m) data in GIS. This analysis can be achieved through the measurement of linear aspects, aerial aspects and relief aspects of the drainage basin. The results of the study show that stream order ranges from first to sixth order with a total stream length of 1024, a total length of 3183.2 km. Basin was divided into three subregions: upland, midland, and lowland. Those represent 66,9%, 26,0% and 7,1% percent of the region’s total area respectively.

Separating decision modelling from the processes modelling concern recently gained significant support in literature, as incorporating both concerns into a single model impairs the scalability, maintainability, flexibility, and understandability of both processes and decisions. Most notably the introduction of the Decision Model and Notation (DMN) standard by the Object Management Group provides a suitable solution for externalising decisions from processes and automating decision enactments for processes. This article introduces a systematic way of tackling the separation of the decision modelling concern from process modelling by providing a Decision as a Service (DaaS) layered Service-Oriented Architecture (SOA) which approaches decisions as automated and externalised services that processes need to invoke on demand to obtain the decision outcome. The DaaS mechanism is elucidated by a formalisation of DMN constructs and the relevant layer elements. Furthermore, DaaS is evaluated against the fundamental characteristics of the SOA paradigm, proving its contribution in terms of abstraction, reusability, loose coupling, and other pertinent SOA principles. Additionally, the benefits of the DaaS design on process-decision modelling and mining are discussed. Finally, the DaaS design is illustrated on a real-life event log of a bank loan application and approval process, and the SOA maturity of DaaS is assessed.

Abstract. Enclosed topographic depressions are characteristic of karst landscapes on Earth. The developmental relationship between depression types, such as sinkholes (dolines) and uvalas, has been the subject of debate, mainly because the long developmental timescales in classical limestone karst settings impede direct observation. Here we characterize the morphometric properties and spatio-temporal development of ∼1150 sinkholes and five uvalas formed from ∼1980 to 2017 in an evaporite karst setting along the eastern coast of the hypersaline Dead Sea (at Ghor Al-Haditha, Jordan). The development of sinkhole populations and individual uvalas is intertwined in terms of onset, evolution and cessation. The sinkholes commonly develop in clusters, within which they may coalesce to form compound or nested sinkholes. In general, however, the uvalas are not defined by coalescence of sinkholes. Although each uvala usually encloses several clusters of sinkholes, it develops as a larger-scale, gentler and structurally distinct depression. The location of new sinkholes and uvalas shows a marked shoreline-parallel migration with time, followed by a marked shoreline-perpendicular (i.e. seaward) growth with time. These observations are consistent with theoretical predictions of karstification controlled by a laterally migrating interface between saturated and undersaturated groundwater, as induced by the 35 m fall in the Dead Sea water level since 1967. More generally, our observations indicate that uvalas and the sinkhole populations within them, although morphometrically distinct, can develop near-synchronously by subsidence in response to subsurface erosion.